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Differentiable Ranks and Sorting using Optimal Transport

28 May 2019

Papers citing "Differentiable Ranks and Sorting using Optimal Transport"

50 / 104 papers shown

Title
Schrödinger Bridge Matching for Tree-Structured Costs and Entropic Wasserstein Barycentres Samuel Howard Peter Potaptchik George Deligiannidis OT 18 0 0 20 Jun 2025
Learning Distributions over Permutations and Rankings with Factorized Representations Daniel Severo Brian Karrer Niklas Nolte OOD 25 0 0 30 May 2025
Revisiting Reweighted Risk for Calibration: AURC, Focal Loss, and Inverse Focal Loss Han Zhou Sebastian G.Gruber Teodora Popordanoska Matthew B. Blaschko 55 0 0 29 May 2025
Pass@K Policy Optimization: Solving Harder Reinforcement Learning Problems Christian Walder Deep Karkhanis OffRL 60 0 0 21 May 2025
Deep greedy unfolding: Sorting out argsorting in greedy sparse recovery algorithms Sina Mohammad-Taheri Matthew J. Colbrook Simone Brugiapaglia 45 0 0 21 May 2025
Multivariate Conformal Selection Tian Bai Yue Zhao Xiang Yu Archer Y. Yang BDL 599 0 0 01 May 2025
Many-to-Many Matching via Sparsity Controlled Optimal Transport Weijie Liu Han Bao M. Yamada Zenan Huang Nenggan Zheng Hui Qian OT 130 0 0 31 Mar 2025
Learning Cascade Ranking as One Network Yunli Wang Zhenru Zhang Ziyi Wang Zhiyong Yang Yunshui Li Jian Yang Shiyang Wen Peng Jiang Kun Gai 97 0 0 12 Mar 2025
LapSum -- One Method to Differentiate Them All: Ranking, Sorting and Top-k Selection Łukasz Struski Michał B. Bednarczyk Igor T. Podolak Jacek Tabor BDL 88 0 0 08 Mar 2025
Multivariate Conformal Prediction using Optimal Transport Michal Klein Louis Béthune Eugène Ndiaye Marco Cuturi OT 220 3 0 05 Feb 2025
CS-Net:Contribution-based Sampling Network for Point Cloud Simplification Tian Guo Chen Chen Hui Yuan Xiaolong Mao R. Hamzaoui Junhui Hou 3DPC 106 0 0 18 Jan 2025
Discovering Data Structures: Nearest Neighbor Search and Beyond Omar Salemohamed Laurent Charlin Shivam Garg Vatsal Sharan Gregory Valiant FedML 114 0 0 05 Nov 2024
EXAGREE: Towards Explanation Agreement in Explainable Machine Learning Sichao Li Quanling Deng Amanda S. Barnard 65 0 0 04 Nov 2024
Conformal Risk Minimization with Variance Reduction Sima Noorani Orlando Romero Nicolò Dal Fabbro Hamed Hassani George Pappas 238 3 0 03 Nov 2024
Permutation Picture of Graph Combinatorial Optimization Problems Yimeng Min 29 0 0 22 Oct 2024
C-Adapter: Adapting Deep Classifiers for Efficient Conformal Prediction Sets Kangdao Liu Hao Zeng Jianguo Huang Huiping Zhuang Chi-Man Vong Hongxin Wei 235 4 0 12 Oct 2024
Generalizing Stochastic Smoothing for Differentiation and Gradient Estimation Felix Petersen Christian Borgelt Aashwin Mishra Stefano Ermon 93 2 0 10 Oct 2024
SymmetricDiffusers: Learning Discrete Diffusion on Finite Symmetric Groups Yongxing Zhang Donglin Yang Renjie Liao DiffM 429 1 0 03 Oct 2024
GLinSAT: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent Hongtai Zeng Chao Yang Yanzhen Zhou Cheng Yang Qinglai Guo 60 0 0 26 Sep 2024
LinSATNet: The Positive Linear Satisfiability Neural Networks Runzhong Wang Yunhao Zhang Ziao Guo Tianyi Chen Xiaokang Yang Junchi Yan 62 17 0 18 Jul 2024
Adaptive Slot Attention: Object Discovery with Dynamic Slot Number Ke Fan Zechen Bai Tianjun Xiao Tong He Max Horn Yanwei Fu Francesco Locatello Zheng Zhang OCL 95 10 0 13 Jun 2024
Differentiable Cost-Parameterized Monge Map Estimators Samuel Howard George Deligiannidis Patrick Rebeschini James Thornton OT 92 1 0 12 Jun 2024
Distributional Preference Alignment of LLMs via Optimal Transport Igor Melnyk Youssef Mroueh Brian M. Belgodere Mattia Rigotti Apoorva Nitsure Mikhail Yurochkin Kristjan Greenewald Jirí Navrátil Jerret Ross 110 13 0 09 Jun 2024
Progressive Entropic Optimal Transport Solvers Parnian Kassraie Aram-Alexandre Pooladian Michal Klein James Thornton Jonathan Niles-Weed Marco Cuturi OT 78 6 0 07 Jun 2024
CHAMP: Conformalized 3D Human Multi-Hypothesis Pose Estimators Harry Zhang Luca Carlone 3DH 246 1 0 27 May 2024
An Information Theoretic Perspective on Conformal Prediction Alvaro H.C. Correia F. V. Massoli Christos Louizos Arash Behboodi 76 5 0 03 May 2024
Provably Robust Conformal Prediction with Improved Efficiency Ge Yan Yaniv Romano Tsui-Wei Weng 98 16 0 30 Apr 2024
Differentiable Pareto-Smoothed Weighting for High-Dimensional Heterogeneous Treatment Effect Estimation Yoichi Chikahara Kansei Ushiyama 58 0 0 26 Apr 2024
Made to Order: Discovering monotonic temporal changes via self-supervised video ordering Charig Yang Weidi Xie Andrew Zisserman 75 2 0 25 Apr 2024
Squared Wasserstein-2 Distance for Efficient Reconstruction of Stochastic Differential Equations Mingtao Xia Xiangting Li Qijing Shen Tom Chou 46 4 0 21 Jan 2024
PAC-Bayes Generalization Certificates for Learned Inductive Conformal Prediction Apoorva Sharma Sushant Veer Asher Hancock Heng Yang Marco Pavone Anirudha Majumdar 201 9 0 07 Dec 2023
Estimation of entropy-regularized optimal transport maps between non-compactly supported measures Matthew Werenski James M. Murphy Shuchin Aeron OT 74 4 0 20 Nov 2023
Adaptive Neural Ranking Framework: Toward Maximized Business Goal for Cascade Ranking Systems Yunli Wang Zhiqiang Wang Jian Yang Shiyang Wen Dongying Kong Han Li Kun Gai 102 12 0 16 Oct 2023
Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions Jungtaek Kim Jeongbeen Yoon Minsu Cho 55 2 0 11 Oct 2023
Generalized Sum Pooling for Metric Learning †. YetiZ.Gürbüz Ozan Sener Alatan RSiM FedML 67 6 0 18 Aug 2023
StructuredMesh: 3D Structured Optimization of Façade Components on Photogrammetric Mesh Models using Binary Integer Programming Libin Wang Han Hu Qisen Shang Bo Xu Qing Zhu 64 0 0 07 Jun 2023
A Large-Scale Study of Probabilistic Calibration in Neural Network Regression Victor Dheur Souhaib Ben Taieb BDL 185 14 0 05 Jun 2023
BOtied: Multi-objective Bayesian optimization with tied multivariate ranks Ji Won Park Natavsa Tagasovska Michael R. Maser Stephen Ra Kyunghyun Cho 155 9 0 01 Jun 2023
Beam Tree Recursive Cells Jishnu Ray Chowdhury Cornelia Caragea 89 6 0 31 May 2023
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs Jacob Lindbäck Zesen Wang Mikael Johansson OT 93 1 0 29 May 2023
Zero-TPrune: Zero-Shot Token Pruning through Leveraging of the Attention Graph in Pre-Trained Transformers Hongjie Wang Bhishma Dedhia N. Jha ViT VLM 121 29 0 27 May 2023
Differentiable Random Partition Models Thomas M. Sutter Alain Ryser Joram Liebeskind Julia E. Vogt 83 3 0 26 May 2023
Joint Feature and Differentiable $k$ -NN Graph Learning using Dirichlet Energy Lei Xu Lei Chen Rong Wang Feiping Nie Xuelong Li 78 1 0 21 May 2023
Calibration-Aware Bayesian Learning Jiayi Huang Sangwoo Park Osvaldo Simeone BDL UQCV 57 3 0 12 May 2023
$$\partial\mathbb{B}$ nets: learning discrete functions by gradient descent$ $\partial\mathbb{B}$ nets: learning discrete functions by gradient descent Ian Wright 121 0 0 12 May 2023
Scalable Optimal Transport Methods in Machine Learning: A Contemporary Survey Abdelwahed Khamis Russell Tsuchida Mohamed Tarek V. Rolland Lars Petersson OT 136 14 0 08 May 2023
Learning to Re-rank with Constrained Meta-Optimal Transport Andrés Hoyos-Idrobo OffRL 80 0 0 29 Apr 2023
About latent roles in forecasting players in team sports Luca Scofano Alessio Sampieri Giuseppe Re Matteo Almanza A. Panconesi Fabio Galasso AI4TS 47 1 0 17 Apr 2023
Self-Ordering Point Clouds Pengwan Yang Cees G. M. Snoek Yuki M. Asano SSL 3DPC 58 4 0 03 Apr 2023
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate Kiarash Mohammadi He Zhao Mengyao Zhai Frederick Tung 60 3 0 31 Mar 2023